Medical Text Annotation

Extract information embedded in clinical texts, medical reports, and patient records.
Incorporating automated and manual NLP methods into healthcare text annotation workflows to gain meaningful insights from doctor's notes, lab reports, labels, etc.

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Medical Text Annotation

Our Medical Text Annotation Capabilities

Make machines understand complex texts and extract valuable insights from unstructured medical data. We have language and subject matter experts to annotate medical text data in 100+ languages and dialects accurately.

Electronic Medical Records (EMRs)

Electronic Medical Records (EMRs)

Healthcare providers can gain valuable insight from EMRs, clinical reports, and summaries. Our NLP experts can extract text from EMRs to be used in disease registries, clinical trials, and audits of healthcare services.

Clinical Entity Recognition (CER)

Clinical named entity recognition is a crucial application of medical text annotation. Let us help you extract the fundamental concepts called named entities from the medical research records, such as disease names, medication names, and lab tests.

Clinical Entity Recognition (CER)
Biomedical Named Entity Recognition (BNER)

Biomedical Named Entity Recognition (BNER)

Engage our NLP experts to mitigate the key challenge of BNER. A big part of our medical text annotation service is to extract and identify entities from biomedical instances, like chemical compounds, genes, proteins, viruses, disorders, and DNAs.

Deidentification and Obfuscation

Get structured or unstructured medical data de-identified in compliance with HIPAA, GDPR, or custom needs. We can de-identify/mask patient ID, name, email, patient ID, SSN, credit card, address, phone, racial or ethnic origin, religion, political affiliation, biometric info, sexual orientation, and more.

Deidentification and Obfuscation

Your Go-to Source for Medical Text Annotation

To ensure accurate medical text annotation, subject matter and NLP experts at Cogito work in tandem to understand complex vocabularies and ontologies in the healthcare domain and work in close collaboration to accurately label medical data.

Domain Expertise

Domain Expertise

Subject matter experts with years of experience in medical data annotation ensure accurately labelled datasets

End-to-end Data Security

End-to-end Data Security

Ensure compliance with HIPAA by maintaining strict data security and confidentiality policies

Quick Turn Around Time

Quick Turn Around Time

we provide fast and accurate annotations through manual and AI-based methods with 1500+ data and industry experts on board

Quality & Accuracy

Quality & Accuracy

Data is audited and reviewed multiple times to ensure it is of the highest quality and accuracy possible

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